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edXProbability for Actuaries: Continuous Distributions
38 studentsINTERMEDIATEEnglish
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Probability Theory for Actuaries
Actuarial modeling rests on continuous probability distributions—the math of uncertainty at scale. This course covers univariate and multivariate distributions, the law of large numbers, and central limit theorem with an eye toward real insurance and pension applications.
You'll understand how small-probability, large-impact events matter, and how distributions inform reserves and pricing. For actuarial candidates and professionals managing contingent financial risk.
About this course
Actuarial work involves modeling future contingent events that are uncertain in terms of timing, frequency and severity. Understanding the central tendency of a contingency and its possible distribution is critical for an actuary to help individuals and institutions manage risk. This course covers continuous univariate probability distributions, discrete multivariate probability distributions, the law of large numbers and the central limit theorem with an eye toward actuarial applications.
Price
$219
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